Edit model card

functionary-small-v3.2-GGUF

Original Model

meetkai/functionary-small-v3.2

Run with LlamaEdge

  • LlamaEdge version: v0.14.10 and above

  • Prompt template

    • Prompt type: functionary-32

    • Prompt string

      <|start_header_id|>system<|end_header_id|>
      
      You are capable of executing available function(s) if required.
      Only execute function(s) when absolutely necessary.
      Ask for the required input to:recipient==all
      Use JSON for function arguments.
      Respond in this format:
      >>>${recipient}
      ${content}
      Available functions:
      // Supported function definitions that should be called when necessary.
      namespace functions {
      
          // Get the current weather
          type get_current_weather = (_: {
      
              // The city and state, e.g. San Francisco, CA
              location: string,
      
          }) => any;
      
      
      } // namespace functions<|eot_id|><|start_header_id|>user<|end_header_id|>
      
      What is the weather like in Beijing today?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
      
  • Context size: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-small-v3.2-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name functionary-small-v3.2 \
      --prompt-template functionary-32 \
      --ctx-size 128000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:functionary-small-v3.2-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template functionary-32 \
      --ctx-size 128000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
functionary-small-v3.2-Q2_K.gguf Q2_K 2 3.18 GB smallest, significant quality loss - not recommended for most purposes
functionary-small-v3.2-Q3_K_L.gguf Q3_K_L 3 4.32 GB small, substantial quality loss
functionary-small-v3.2-Q3_K_M.gguf Q3_K_M 3 4.02 GB very small, high quality loss
functionary-small-v3.2-Q3_K_S.gguf Q3_K_S 3 3.66 GB very small, high quality loss
functionary-small-v3.2-Q4_0.gguf Q4_0 4 4.66 GB legacy; small, very high quality loss - prefer using Q3_K_M
functionary-small-v3.2-Q4_K_M.gguf Q4_K_M 4 4.92 GB medium, balanced quality - recommended
functionary-small-v3.2-Q4_K_S.gguf Q4_K_S 4 4.69 GB small, greater quality loss
functionary-small-v3.2-Q5_0.gguf Q5_0 5 5.60 GB legacy; medium, balanced quality - prefer using Q4_K_M
functionary-small-v3.2-Q5_K_M.gguf Q5_K_M 5 5.73 GB large, very low quality loss - recommended
functionary-small-v3.2-Q5_K_S.gguf Q5_K_S 5 5.60 GB large, low quality loss - recommended
functionary-small-v3.2-Q6_K.gguf Q6_K 6 6.60 GB very large, extremely low quality loss
functionary-small-v3.2-Q8_0.gguf Q8_0 8 8.54 GB very large, extremely low quality loss - not recommended
functionary-small-v3.2-f16.gguf f16 16 16.1 GB

Quantized with llama.cpp b3807

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